Influence of Reciprocal links in Social Networks
Yu-Xiao Zhu, Xiao-Guang Zhang, Gui-Quan Sun, Ming Tang, Tao Zhou,, Zi-Ke Zhang

TL;DR
This paper empirically investigates how reciprocal links in social networks influence information spread and network robustness, revealing their significant role in enhancing connectivity and efficiency.
Contribution
It provides the first empirical analysis of reciprocal links' impact on social network structure and function, highlighting their importance in information dissemination and network stability.
Findings
Reciprocal links significantly enhance information spreading.
Reciprocal links are crucial for network connectivity.
Reciprocal links improve network robustness and efficiency.
Abstract
In this Letter, we empirically study the influence of reciprocal links, in order to understand its role in affecting the structure and function of directed social networks. Experimental results on two representative datesets, Sina Weibo and Douban, demonstrate that the reciprocal links indeed play a more important role than non-reciprocal ones in both spreading information and maintaining the network robustness. In particular, the information spreading process can be significantly enhanced by considering the reciprocal effect. In addition, reciprocal links are largely responsible for the connectivity and efficiency of directed networks. This work may shed some light on the in-depth understanding and application of the reciprocal effect in directed online social networks.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
